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Senior data modeller (gais)

Gais
Capgemini Engineering
Pubblicato il 14 marzo
Descrizione

CAPGEMINI ENGINEERING\n\nAt Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D; and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.\n\nYOUR ROLE\n\nWe are seeking a detail‑oriented and technically strong Data Modeler to design, develop, and maintain high‑quality data models that support enterprise analytics, reporting, and governance. You will work closely with engineering, data governance, and business teams to ensure data structures are efficient, consistent, and aligned with organizational standards.\n\nData Modeling & Architecture\n\nDesign dimensional models (fact tables, conformed dimensions, SCD types) and/or 3NF or Data Vault structures appropriate for business and technical requirements.\nCreate and maintain conceptual, logical, and physical data models that adhere to enterprise architecture standards.\nDefine data quality rules, metadata standards, and naming conventions to ensure governance and consistency across systems.\n\nEngineering Collaboration\n\nGenerate DDL and collaborate with engineering teams on schema deployment, indexing strategies, and performance optimization.\nWork closely with ETL/ELT engineers to ensure that pipelines, transformations, and data flows align with model structures.\n\nGovernance & Documentation\n\nContribute to data lineage, cataloging, and metadata management efforts in partnership with Data Governance teams.\nClearly communicate model changes, business impacts, and dependencies to technical and non‑technical stakeholders.\n\nYOUR PROFILE\n\nTechnical Expertise\n\nDemonstrated experience in data modeling, including dimensional modeling (star, snowflake), normalization (3NF), and/or Data Vault 2.0.\nStrong SQL and DDL skills, with the ability to reason about query performance, indexing, and partitioning.\nFamiliarity with data quality, metadata, and data lineage practices.\n\nTools Experience\n\nProficiency with at least one enterprise data modeling tool, such as: SAP PowerDesigner, ERwin Data Modeler, ER/Studio, Oracle SQL Developer Data Modeler, SQLDBM, DbSchema, Vertabelo, Hackolade, Toad Data Modeler, InfoSphere Data Architect, pgModeler, or Sparx Enterprise Architect.\n\nCollaboration & Awareness\n\nAbility to work effectively in cross-functional teams, bridging technical and business perspectives.\nAwareness of ETL/ELT and orchestration concepts (e.g., Informatica, SSIS, Talend, Matillion, dbt, Airflow, ADF, Databricks); hands‑on pipeline development is not required.\n\nWhat You’ll Love About Working Here\n\nJoin a multicultural and inclusive team environment.\nEnjoy a supportive atmosphere promoting work-life balance.\nHybrid work.\nYour career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.\nAccess valuable training and certifications in cutting-edge technologies.\nEngage in exciting national and international projects.\nHealth and life insurance.\nReferral program with bonuses for talent recommendations.\nGreat office locations.\n\nChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

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